Introduction to “Partition” in “Apache Spark”
<h1>What is the “Importance” of “Partition”?</h1>
<ul>
<li><strong>“Apache Spark</strong>” is known for its “<strong>Speed</strong>”. The “<strong>Fast Speed</strong>” of “<strong>Computing</strong>” comes from the “<strong>Parallel Processing</strong>”.</li>
<li><strong>“Partition</strong>” is the “<strong>Key</strong>” for “<strong>Parallel Processing</strong>”.</li>
<li>If the “<strong>Data</strong>”, to work with, is “<strong>Partitioned</strong>” in a “<strong>Proper Way</strong>” then the “<strong>Query Performance</strong>” on that “<strong>Data</strong>” would be “<strong>Improved</strong>” as the “<strong>Parallel Processing</strong>” will be “<strong>Triggered</strong>” “<strong>Effectively</strong>”.</li>
<li>If the “<strong>Data</strong>”, to work with, is “<strong>Not Partitioned</strong>” in a “<strong>Proper Way</strong>” then the “<strong>Distributed Framework</strong>” of “<strong>Apache Spark</strong>” is “<strong>Not</strong>” being used “<strong>Effectively</strong>”.</li>
<li>So, “<strong>Partition</strong>” plays an “<strong>Important Role</strong>” in the following -<br />
<strong>1</strong>. <strong>Performance Improvement<br />
2. Error Handling<br />
3. Debugging</strong></li>
</ul>
<p><a href="https://oindrila-chakraborty88.medium.com/introduction-to-partition-in-apache-spark-66e005c6e15d"><strong>Learn More</strong></a></p>